A New Evaluation Approach for Sign Language Machine Translation
A New Evaluation Approach for Sign Language Machine Translation
This paper proposes a new evaluation approach for sign language machine translation (SLMT). It aims to show a better correlation between its automatically generated scores and human judgements of translation accuracy. To show the correlation, an Arabic Sign Language (ArSL) corpus has been used for the evaluation experiments and the results obtained by various methods.
498-502
Almohimeed, Abdulaziz
926b035d-9396-4091-a6cc-8139ebe6b1c0
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Damper, R.
6e0e7fdc-57ec-44d4-bc0f-029d17ba441d
2009
Almohimeed, Abdulaziz
926b035d-9396-4091-a6cc-8139ebe6b1c0
Wald, Mike
90577cfd-35ae-4e4a-9422-5acffecd89d5
Damper, R.
6e0e7fdc-57ec-44d4-bc0f-029d17ba441d
Almohimeed, Abdulaziz, Wald, Mike and Damper, R.
(2009)
A New Evaluation Approach for Sign Language Machine Translation.
In Assistive Technology from Adapted Equipment to Inclusive Environments - AAATE 2009.
IOS Press.
.
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Conference or Workshop Item
(Paper)
Abstract
This paper proposes a new evaluation approach for sign language machine translation (SLMT). It aims to show a better correlation between its automatically generated scores and human judgements of translation accuracy. To show the correlation, an Arabic Sign Language (ArSL) corpus has been used for the evaluation experiments and the results obtained by various methods.
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aaateSLpaper.pdf
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Published date: 2009
Venue - Dates:
conference; 2009-01-01, 2010-01-01
Organisations:
Web & Internet Science, Southampton Wireless Group
Identifiers
Local EPrints ID: 268216
URI: http://eprints.soton.ac.uk/id/eprint/268216
PURE UUID: ea09a27b-2fe7-46ab-8fd1-48a0b696e68a
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Date deposited: 15 Nov 2009 12:18
Last modified: 14 Mar 2024 09:06
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Contributors
Author:
Abdulaziz Almohimeed
Author:
Mike Wald
Author:
R. Damper
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